About the role

Job Description: Senior Software Engineer (Agentic Systems)

Location: Head Office, Hyderabad (IN)

Role Summary

We are hiring a Senior Software Engineer (Agentic Systems) to design, build, and operate production-grade

agentic AI systems for real-time, AI-driven products. This is a hands-on role focused on scalable LLM-based

agents and strong system design, working closely with AI engineers and engineering leadership. This is a

full-time, on-site role based in Hyderabad, requiring close collaboration with AI, ML, and engineering teams.

Key Responsibilities

Architect, develop, and integrate scalable agentic AI systems (autonomous and multi-agent, LLM-driven)

into enterprise platforms and workflows.

Design and evolve agent capabilities including planning, memory, RAG, tool usage, async task execution,

and orchestration.

Evaluate emerging agentic models and frameworks; prototype, benchmark, and optimize systems for

performance, robustness, safety, and cost.

Deploy and operate agentic systems in production; monitor behavior, diagnose anomalies, and implement

feedback loops for continuous improvement.

Collaborate with AI engineers and leadership to shape reliable, intuitive interactions with real-time AI

systems.

Candidate Profile

Experience

5+ years of software engineering experience and 3+ years building LLM-based or agentic systems.

Hands-on experience with agent frameworks such as LangChain, OpenAI Agents SDK, Google ADK, or

similar.

Experience building agentic systems, including chat or conversational interfaces, workflow-driven agents,

tool use, and LLM-based protocols (e.g., MCP-style or equivalent).

Proven track record building production AI agents with planning, memory, tool use, delegation, and

retrieval.

Experience with vector databases and semantic search (FAISS, Pinecone, Milvus, Weaviate, or similar).

Core Competencies

Strong proficiency in Python and experience with modern backend development.

Strong system design skills and ability to clearly communicate complex technical concepts.

Additional Skills

Experience deploying agentic systems on platforms such as Vertex AI, Databricks, or AWS Bedrock.

Familiarity with agent safety, evaluation, and governance (e.g., RLHF, guardrails, monitoring).

Background in distributed systems, performance-critical workloads, or GPU-based systems.

HR Screening Criteria

Minimum 80% alignment with defined psychometric ranges

No critical trait below threshold

Only candidates scoring 5.0/10 or higher overall fit to be shortlisted

Summary

- At least two production-grade agentic systems deployed and operating reliably within the first year, with clear

monitoring and feedback loops.